Silvia Coco

42 papers receiving 2.7k citations

Peers

Silvia Coco
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 1.4k
  • Developmental Neuroscience 230
  • Physiology 229
  • Cell Biology 728
  • Neurology 348
Replace Davide Pozzi with:
Davide Pozzi Italy
Patrizia D’Adamo Italy
Nina Vardjan Slovenia
Zu-Hang Sheng United States
Anton Maximov United States
Elena Pravettoni Italy
Alaa El-Husseini Canada
Matjaž Stenovec Slovenia
Sonja M. Wojcik Germany
Roger Janz United States
Silvia Coco relative to Davide Pozzi Italy Davide Pozzi's profile →
Citations per field
00.5×1.7×
Davide Pozzi · 1×
Citations per year

Countries citing papers authored by Silvia Coco

Since Specialization
Citations

This map shows the geographic impact of Silvia Coco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvia Coco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Coco more than expected).

Fields of papers citing papers by Silvia Coco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Coco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvia Coco. The network helps show where Silvia Coco may publish in the future.

Co-authors

The 25 scholars most cited alongside Silvia Coco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvia Coco Line = papers co-authored together Silvia Coco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003437
2 2020209
3 2004185
4 1999136
5 2001135
6 2001131
7 1996120
8 2019117
9 2001104
10 1999100
11 200693
12 199789
13 199985
14 200073
15 199965
16 200563
17 200258
18 199555
19 199953
20 201951

About Silvia Coco

Silvia Coco is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience, Neurology and Genetics, having authored 42 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Mesenchymal stem cell research (4 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (230 citations), Physiology (229 citations), Cell Biology (728 citations) and Neurology (348 citations). Silvia Coco has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Michela Matteoli, Claudia Verderio, Elena Pravettoni, Davide Pozzi, Patrizia Rosa, Federico Calegari, Elena Taverna, Ornella Rossetto, Alberto Bacci and Ursula Schenk. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Neuroscience, Journal of Neurochemistry, Journal of Biological Chemistry and Journal of Molecular Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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